A Semantic Model for Cross Applicative Domain of Smart City Towards Improved Data Quality - School of Computing Seminar Series

The quest for improved and sustainable living within the urban city has been sustained by a new concept called “Smart cities”. It is a representation of the urban model which uses multimodal information coming from heterogeneous sources for smart processing. The categories of data from such sources include but not limited to Internet of things (IoT) data, weather, pollution, GIS and transport data. These heterogeneous sources or devices are challenged by some data quality issues that often leads to poor quality information. The quality problems depend on three factors that includes, errors in measurements or precision of data collection device, noise in the environment and quality of data communication and processing, and granularity of observation and measurements in both spatial and temporal dimensions. The present state of the research is focussing on adopting semantic technologies for the architecture and horizontal applications of smart city domains and deployment of an efficient reasoning engine to guarantee improved data quality delivery.